Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data
Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: L...
Published in: | Environmental Research Letters |
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IOP Publishing
2016
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Online Access: | https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa |
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ftdoajarticles:oai:doaj.org/article:aa7c0fa92f3f4ad68002d0b9f795c5aa 2023-09-05T13:17:02+02:00 Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data Taejin Park Sangram Ganguly Hans Tømmervik Eugénie S Euskirchen Kjell-Arild Høgda Stein Rune Karlsen Victor Brovkin Ramakrishna R Nemani Ranga B Myneni 2016-01-01T00:00:00Z https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa EN eng IOP Publishing https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/8/084001 1748-9326 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa Environmental Research Letters, Vol 11, Iss 8, p 084001 (2016) photosynthetically active growing season gross primary productivity boreal and arctic remote sensing climate change AVHRR Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 article 2016 ftdoajarticles https://doi.org/10.1088/1748-9326/11/8/084001 2023-08-13T00:37:44Z Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: LOS) and seasonal total gross primary productivity. Particular attention was paid to evaluating the accuracy of these metrics by comparing them to multiple independent direct and indirect growing season and productivity measures. These comparisons reveal that the derived metrics capture the spatio-temporal variations and trends with acceptable significance level (generally p < 0.05). We find that LOS has lengthened by 2.60 d dec ^−1 ( p < 0.05) due to an earlier onset of SOS (−1.61 d dec ^−1 , p < 0.05) and a delayed EOS (0.67 d dec ^−1 , p < 0.1) at the circumpolar scale over the past three decades. Relatively greater rates of changes in growing season were observed in Eurasia (EA) and in boreal regions than in North America (NA) and the arctic regions. However, this tendency of earlier SOS and delayed EOS was prominent only during the earlier part of the data record (1982–1999). During the later part (2000–2014), this tendency was reversed, i.e. delayed SOS and earlier EOS. As for seasonal total productivity, we find that 42.0% of northern vegetation shows a statistically significant ( p < 0.1) greening trend over the last three decades. This greening translates to a 20.9% gain in productivity since 1982. In contrast, only 2.5% of northern vegetation shows browning, or a 1.2% loss of productivity. These trends in productivity were continuous through the period of record, unlike changes in growing season metrics. Similarly, we find relatively greater increasing rates of productivity in EA and in arctic regions than in NA and the boreal regions. These results highlight spatially and temporally varying vegetation dynamics and are reflective of biome-specific responses of northern vegetation during last ... Article in Journal/Newspaper Arctic Climate change Directory of Open Access Journals: DOAJ Articles Arctic Browning ENVELOPE(164.050,164.050,-74.617,-74.617) Environmental Research Letters 11 8 084001 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
photosynthetically active growing season gross primary productivity boreal and arctic remote sensing climate change AVHRR Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
spellingShingle |
photosynthetically active growing season gross primary productivity boreal and arctic remote sensing climate change AVHRR Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 Taejin Park Sangram Ganguly Hans Tømmervik Eugénie S Euskirchen Kjell-Arild Høgda Stein Rune Karlsen Victor Brovkin Ramakrishna R Nemani Ranga B Myneni Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
topic_facet |
photosynthetically active growing season gross primary productivity boreal and arctic remote sensing climate change AVHRR Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Science Q Physics QC1-999 |
description |
Monitoring and understanding climate-induced changes in the boreal and arctic vegetation is critical to aid in prognosticating their future. We used a 33 year (1982–2014) long record of satellite observations to robustly assess changes in metrics of growing season (onset: SOS, end: EOS and length: LOS) and seasonal total gross primary productivity. Particular attention was paid to evaluating the accuracy of these metrics by comparing them to multiple independent direct and indirect growing season and productivity measures. These comparisons reveal that the derived metrics capture the spatio-temporal variations and trends with acceptable significance level (generally p < 0.05). We find that LOS has lengthened by 2.60 d dec ^−1 ( p < 0.05) due to an earlier onset of SOS (−1.61 d dec ^−1 , p < 0.05) and a delayed EOS (0.67 d dec ^−1 , p < 0.1) at the circumpolar scale over the past three decades. Relatively greater rates of changes in growing season were observed in Eurasia (EA) and in boreal regions than in North America (NA) and the arctic regions. However, this tendency of earlier SOS and delayed EOS was prominent only during the earlier part of the data record (1982–1999). During the later part (2000–2014), this tendency was reversed, i.e. delayed SOS and earlier EOS. As for seasonal total productivity, we find that 42.0% of northern vegetation shows a statistically significant ( p < 0.1) greening trend over the last three decades. This greening translates to a 20.9% gain in productivity since 1982. In contrast, only 2.5% of northern vegetation shows browning, or a 1.2% loss of productivity. These trends in productivity were continuous through the period of record, unlike changes in growing season metrics. Similarly, we find relatively greater increasing rates of productivity in EA and in arctic regions than in NA and the boreal regions. These results highlight spatially and temporally varying vegetation dynamics and are reflective of biome-specific responses of northern vegetation during last ... |
format |
Article in Journal/Newspaper |
author |
Taejin Park Sangram Ganguly Hans Tømmervik Eugénie S Euskirchen Kjell-Arild Høgda Stein Rune Karlsen Victor Brovkin Ramakrishna R Nemani Ranga B Myneni |
author_facet |
Taejin Park Sangram Ganguly Hans Tømmervik Eugénie S Euskirchen Kjell-Arild Høgda Stein Rune Karlsen Victor Brovkin Ramakrishna R Nemani Ranga B Myneni |
author_sort |
Taejin Park |
title |
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
title_short |
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
title_full |
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
title_fullStr |
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
title_full_unstemmed |
Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
title_sort |
changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data |
publisher |
IOP Publishing |
publishDate |
2016 |
url |
https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa |
long_lat |
ENVELOPE(164.050,164.050,-74.617,-74.617) |
geographic |
Arctic Browning |
geographic_facet |
Arctic Browning |
genre |
Arctic Climate change |
genre_facet |
Arctic Climate change |
op_source |
Environmental Research Letters, Vol 11, Iss 8, p 084001 (2016) |
op_relation |
https://doi.org/10.1088/1748-9326/11/8/084001 https://doaj.org/toc/1748-9326 doi:10.1088/1748-9326/11/8/084001 1748-9326 https://doaj.org/article/aa7c0fa92f3f4ad68002d0b9f795c5aa |
op_doi |
https://doi.org/10.1088/1748-9326/11/8/084001 |
container_title |
Environmental Research Letters |
container_volume |
11 |
container_issue |
8 |
container_start_page |
084001 |
_version_ |
1776198376504688640 |